I'm unable to combine 2 or more RTF files in R. Anybody who knows please help me out. I'm trying to add footnotes for the rtf files but they are not taking it.
What are good ways to select multiple columns of a data frame in base R using the native pipe |>? (i.e., without the tidyverse/dplyr to reduce external depen
I have been following the tutorial for DADA2 in R for a 16S data-set, and everything runs smoothly; however, I do have a question on how to calculate the total
I am trying to write out excel files as workbooks where columns satisfy more than one condition. I receive errors here with grep function and unexpected } If I
I'm in the process of creating a small R package containing a set of functions that should be useful in a specialized area of Biology. I currently have the pack
I would like to adapt the answer below, taken from this question. # Example data write.xlsx(mtcars, "mt cars.xlsx") write.xlsx(mtcars, "mt car s.xlsx") temp =
I have a DB like this: a <-c(4, 2, 10, 2, 10, 6, 2) b <-c(4, 6, 70, 8, 18, 4, 3) rbind(a,b) I can create something like this: x <- (
I have a list in my workspace named “sample_experiment”, from which I need to draw some information in the form of vectors, like this: first_column
I want to use Maxent instead of the SVM model, so can anyone help? This was posted on August 1, 2010. # le modèle est calculé avec les valeurs par
Let's consider model : library(plm) data("Produc", package = "plm") model <- plm(pcap ~ hwy + water, data = Produc, model = 'within') To calculate fitted v
I am trying to reproduce a supplementary example 2 Continuous response: one dose-response curve from the drc package. When trying to run coeftest(ryegrass.LL.4
for dataframe below, df <- data.frame(id = c(rep(101, 4), rep(202, 3)), status = c("a","b","c","d", "a", "b", "c"), wt = c(10
EDIT: (11/05/22) Coastal classifications would serve a purpose at this stage if there exists such classifications based on NE co-ordinates. If anyone might be
I have a df that contains coordinates to create a square: library(ggplot2) df = data.frame(xmin = 1, xmax = 3, ymin = 10, ymax = 15) ggplot(df) + geom
I'm making a tutorial using RMarkdown and I can't suppress the error message I'm getting. The reason I'm suppressing the error is because the code I'm running
I have a df with about 1200 columns and the colnames are related to the response categories (ie. Likert scale identifiers). It is similar in format to the df cr
I am working on serial reports with RMarkdown. Since the latest R Update to 4.2.0 I get the error: Error in dir.exists(x) : file name conversion problem -- name
Suppose my Dataframe look like: w <- sample(-10:10, size =10) x <- sample(-10:10, size =10) y <- sample(-10:10, size =10) z <- sample(-10:10, size =
Stuck at a R problem. I have a random fasta file: > header AGTCAGTCAGTC My desired output is: segment1 AGTC segment2 GTCA segment3 TCAG segment4 CA
I have a dataframe with two columns, as follows: A<-c(4,4,4,3,2,4,1) B<-c(4,4,2,31,3,1,1) data<-data.frame(A,B) I know I can use grep() to search for